MIC: Analysis of Antimicrobial Minimum Inhibitory Concentration Data
Analyse, plot, and tabulate antimicrobial minimum inhibitory concentration (MIC) data.
Validate the results of an MIC experiment by comparing observed MIC values to
a gold standard assay, in line with standards from the International Organization for
Standardization (2021) <https://www.iso.org/standard/79377.html>. Perform MIC prediction from
whole genome sequence data stored in the Pathosystems Resource Integration Center (2013)
<doi:10.1093/nar/gkt1099> database or locally.
| Version: |
1.0.2 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
AMR, glue, readr, dplyr, Rcpp, data.table, Biostrings, stringr, rlang, tidyr, future.apply, progressr, lemon, ggplot2, forcats, purrr, tibble |
| LinkingTo: |
Rcpp |
| Suggests: |
testthat (≥ 3.0.0), xgboost, flextable, caret, lifecycle, future |
| Published: |
2025-02-07 |
| DOI: |
10.32614/CRAN.package.MIC |
| Author: |
Alessandro Gerada 
[aut, cre, cph] |
| Maintainer: |
Alessandro Gerada <alessandro.gerada at liverpool.ac.uk> |
| BugReports: |
https://github.com/agerada/MIC/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://github.com/agerada/MIC |
| NeedsCompilation: |
yes |
| Materials: |
README NEWS |
| CRAN checks: |
MIC results |
Documentation:
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